In modeling internet traffic there have been little attention on skewness. Shifted gamma distribution is a simple traffic model which is long-range dependent and its marginal distribution exhibits specific skewness. Using this model, we give some analytical results on the impact of skewness on the queueing performance such as mean delay and overflow probability. We also investigate the feasibil...

We investigate the sources of skewness in aggregate risk-factors and the cross-section of stock returns. In an ICAPM setting with conditional volatility, we find theoretical time series predictions on the relationships among volatility, returns, and skewness for priced risk factors. Market returns resemble these predictions; however, size, bookto-market, and momentum factor returns show alterna...

Asymmetry in distributions of potential outcomes (i.e. skewness), and whether those potential outcomes reflect gains or losses (i.e. their valence), both exert a powerful influence on value-based choice. How valence affects the impact of skewness on choice is unknown. Here by orthogonally manipulating the skewness and valence of economic stimuli we show that both have an influence on choice. We...

Aggregate stock market returns display negative skewness. Firm-level stock returns display positive skewness. The large literature that tries to explain the first stylized fact ignores the second. This paper provides a unified theory that reconciles the two facts. I build a stationary asset pricing model of firm announcement events where firm returns display positive skewness. I then show that ...

The skewness of the first time derivative of a pressure waveform, or derivative skewness, has been used previously to describe the presence of shock-like content in jet and rocket noise. Despite its use, a quantitative understanding of derivative skewness values has been lacking. In this paper, the derivative skewness for nonlinearly propagating waves is investigated using analytical, numerical...